# Core Electronics Review Parser Spider (`getdataforme/core-electronics-review-parser-spider`) Actor Effortlessly extract customer reviews from Core Electronics product pages with this Apify Actor. It gathers author, rating, content, and verification status in structured JSON for easy analysis.... - **URL**: https://apify.com/getdataforme/core-electronics-review-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Lead generation, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### Description Effortlessly extract customer reviews from Core Electronics product pages with this Apify Actor. It gathers author, rating, content, and verification status in structured JSON for easy analysis.... --- ## Core Electronics Review Parser Spider This Apify Actor is designed to scrape and extract customer reviews from Core Electronics product pages. It efficiently collects detailed review data, including author names, ratings, content, and verification status, enabling users to gather valuable insights into product performance and customer sentiment. By automating the extraction process, it saves time and ensures reliable, structured data for analysis and decision-making. ### Features - **Efficient Review Extraction**: Quickly scrapes reviews from specified Core Electronics product URLs, handling multiple pages seamlessly. - **Structured Data Output**: Provides clean, JSON-formatted data with key fields like author, rating, and content for easy integration. - **Verification Status Tracking**: Identifies verified purchases to enhance data credibility and analysis accuracy. - **High Reliability**: Built with robust error handling to minimize failures and ensure consistent data retrieval. - **Scalable Performance**: Supports batch processing of URLs, ideal for large-scale scraping tasks. - **Apify Integration**: Fully compatible with Apify's platform for easy deployment, monitoring, and result export. - **Customizable Inputs**: Allows users to specify target URLs, giving flexibility for targeted data collection. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|---------|----------|-----------------------------------------------------------------------------|-------------------------------------------------------------------------| | Urls | array | Yes | An array of URLs pointing to Core Electronics product pages to scrape reviews from. Must be valid HTTP/HTTPS URLs. | ["https://core-electronics.com.au/piicodev-starter-kit-for-raspberry-pi-pico.html"] | ### Example Usage To run the Actor, provide the input parameters in JSON format. Here's an example input: ```json { "Urls": [ "https://core-electronics.com.au/piicodev-starter-kit-for-raspberry-pi-pico.html" ] } ```` The Actor will output a JSON array of review objects. Example output: ```json [ { "author": "Charlie", "rating": 100, "verified": true, "content": "", "date": "2025-10-23", "product_id": "49919", "actor_id": "O3Y4XghiFt7GSgDee", "run_id": "kAIakaietQNfcpnkU" }, { "author": "Charlie", "rating": 100, "verified": true, "content": "", "date": "2025-10-23", "product_id": "49919", "actor_id": "O3Y4XghiFt7GSgDee", "run_id": "kAIakaietQNfcpnkU" }, { "author": "Lee", "rating": 100, "verified": true, "content": "Have used this kit to quickly test ideas without getting out the breadboard.", "date": "2025-10-13", "product_id": "49919", "actor_id": "O3Y4XghiFt7GSgDee", "run_id": "kAIakaietQNfcpnkU" } ] ``` ### Use Cases - **Market Research and Analysis**: Analyze customer feedback to understand product strengths and weaknesses. - **Competitive Intelligence**: Compare reviews across similar products to identify market trends. - **Price Monitoring**: Track sentiment alongside pricing data for informed pricing strategies. - **Content Aggregation**: Collect reviews for content creation, such as blog posts or reports. - **Academic Research**: Gather data for studies on consumer behavior in electronics. - **Business Automation**: Automate review monitoring for e-commerce dashboards and alerts. ### Installation and Usage 1. Search for "Core Electronics Review Parser Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The output is a JSON array of objects, each representing a single review. Key fields include: - `author`: The name of the reviewer (string). - `rating`: The rating given, typically out of 100 (integer). - `verified`: Boolean indicating if the review is from a verified purchase. - `content`: The text content of the review (string, may be empty). - `date`: The date of the review in YYYY-MM-DD format (string). - `product_id`: Unique identifier for the product (string). - `actor_id`: Identifier for the Apify Actor run (string). - `run_id`: Unique ID for the specific run (string). This structure ensures easy parsing and integration into databases or analysis tools. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://core-electronics.com.au/piicodev-starter-kit-for-raspberry-pi-pico.html" ] } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/core-electronics-review-parser-spider").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/core-electronics-review-parser-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call getdataforme/core-electronics-review-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/core-electronics-review-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Core Electronics Review Parser Spider", "description": "Effortlessly extract customer reviews from Core Electronics product pages with this Apify Actor. It gathers author, rating, content, and verification status in structured JSON for easy analysis....", "version": "0.0", "x-build-id": "edLYCu0DdPfbB9cvg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~core-electronics-review-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-core-electronics-review-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~core-electronics-review-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-core-electronics-review-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~core-electronics-review-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-core-electronics-review-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://core-electronics.com.au/piicodev-starter-kit-for-raspberry-pi-pico.html" ], "items": { "type": "string" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```